ZiggsMatchupy
Dane matchupów Ziggs dla League of Legends patch 26.10. Win rate, statystyki wydajności i najlepsze buildy dla każdego matchupu Ziggs. Dowiedz się kogo Ziggs pokonuje i komu przegrywa na linii.
Ziggs Matchup Breakdown
Use the dropdown to select an opponent and see a detailed breakdown of how Ziggs performs against them. You'll get head-to-head win rates, laning stats, the best build and runes for the matchup, and early vs late game analysis — all based on real ranked data.
Dane matchupow Ziggs dla patcha 26.10 League of Legends. Ponizszatabela pokazuje wskaznik wygranych Ziggs, roznice w zlocie i statystyki wydajnosci przeciwko kazdemu czempionowi w aktualnej mecie. Kliknij nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build Ziggs, runy, statystyki liniowe i analize wczesnej vs poznej gry dla tego konkretnego matchupu.
Przeciwnik | Winrate | Mecze | CS/min | OBR/min | Zloto/mecz | Wczesne WR | Pozne WR |
|---|---|---|---|---|---|---|---|
| 50.87% | 230 | 6.6 | 1,064 | 12,906 | 54.4% | 48.6% | |
| 55.56% | 189 | 6.7 | 1,025 | 13,148 | 54.9% | 55.9% | |
| 43.80% | 137 | 6.6 | 986 | 12,540 | 48.1% | 41.2% | |
| 44.88% | 127 | 6.3 | 1,028 | 12,315 | 44.7% | 45.0% | |
| 53.91% | 115 | 6.5 | 1,148 | 14,161 | 62.9% | 50.0% | |
| 57.52% | 113 | 6.8 | 1,016 | 13,410 | 71.0% | 50.7% | |
| 56.82% | 88 | 6.9 | 964 | 11,851 | 63.4% | 51.1% | |
| 53.33% | 75 | 6.7 | 956 | 12,658 | 54.5% | 52.4% | |
| 52.94% | 68 | 5.9 | 956 | 12,437 | 55.0% | 52.1% | |
| 44.07% | 59 | 5.9 | 992 | 12,086 | 45.5% | 43.2% | |
| 38.60% | 57 | 6.5 | 875 | 10,769 | 35.5% | 42.3% | |
| 44.44% | 54 | 6.6 | 1,023 | 11,595 | 47.6% | 42.4% | |
| 45.28% | 53 | 7.0 | 1,137 | 12,620 | 47.6% | 43.8% | |
| 47.17% | 53 | 6.4 | 1,020 | 13,366 | 55.0% | 42.4% | |
| 49.02% | 51 | 6.6 | 1,091 | 12,847 | 57.9% | 43.8% | |
| 54.00% | 50 | 7.0 | 999 | 11,683 | 57.1% | 51.7% | |
| 43.48% | 46 | 6.4 | 1,056 | 13,199 | 53.3% | 38.7% | |
| 47.73% | 44 | 7.0 | 1,137 | 15,001 | 50.0% | 46.9% | |
| 45.45% | 44 | 6.6 | 1,067 | 11,531 | 47.4% | 44.0% | |
| 43.18% | 44 | 6.5 | 1,003 | 12,946 | 58.3% | 37.5% | |
| 59.09% | 44 | 6.3 | 978 | 11,485 | 75.0% | 50.0% | |
| 51.16% | 43 | 6.2 | 1,003 | 12,394 | 72.2% | 36.0% | |
| 52.38% | 42 | 6.6 | 1,023 | 11,950 | 54.5% | 50.0% | |
| 66.67% | 42 | 6.5 | 901 | 12,489 | 71.4% | 61.9% | |
| 53.66% | 41 | 6.6 | 1,024 | 11,797 | 52.9% | 54.2% | |
| 53.66% | 41 | 5.8 | 1,115 | 13,717 | 46.7% | 57.7% | |
| 52.78% | 36 | 6.5 | 1,112 | 13,559 | 44.4% | 55.6% | |
| 50.00% | 36 | 6.6 | 961 | 11,710 | 64.7% | 36.8% | |
| 51.43% | 35 | 6.5 | 1,006 | 11,043 | 45.0% | 60.0% | |
| 60.61% | 33 | 6.9 | 1,074 | 12,418 | 68.8% | 52.9% | |
| 43.75% | 32 | 6.7 | 907 | 10,148 | 55.6% | 28.6% | |
| 56.67% | 30 | 6.5 | 991 | 12,302 | 61.5% | 52.9% | |
| 57.14% | 28 | 6.3 | 1,086 | 12,064 | 66.7% | 50.0% | |
| 44.44% | 27 | 3.6 | 830 | 10,555 | 38.5% | 50.0% | |
| 38.46% | 26 | 7.3 | 994 | 12,895 | 36.4% | 40.0% | |
| 42.31% | 26 | 7.0 | 904 | 12,529 | 60.0% | 31.3% | |
| 52.00% | 25 | 6.9 | 1,003 | 12,718 | 40.0% | 55.0% | |
| 54.17% | 24 | 7.0 | 1,005 | 10,875 | 57.1% | 50.0% | |
| 73.91% | 23 | 7.4 | 1,079 | 12,968 | 84.6% | 60.0% | |
| 47.83% | 23 | 6.1 | 1,058 | 11,299 | 54.5% | 41.7% | |
| 65.22% | 23 | 6.7 | 1,093 | 12,551 | 55.6% | 71.4% | |
| 59.09% | 22 | 6.8 | 1,081 | 12,858 | 42.9% | 66.7% | |
| 72.73% | 22 | 5.9 | 922 | 12,193 | 85.7% | 66.7% | |
| 68.18% | 22 | 6.4 | 1,094 | 14,484 | 71.4% | 66.7% | |
| 52.38% | 21 | 7.2 | 1,018 | 12,670 | 50.0% | 53.9% | |
| 66.67% | 21 | 6.8 | 1,015 | 10,460 | 70.0% | 63.6% | |
| 55.00% | 20 | 6.6 | 1,097 | 11,847 | 37.5% | 66.7% | |
| 40.00% | 20 | 7.0 | 965 | 12,352 | 37.5% | 41.7% | |
| 36.84% | 19 | 6.8 | 932 | 12,249 | 44.4% | 30.0% | |
| 61.11% | 18 | 6.5 | 912 | 11,601 | 57.1% | 63.6% | |
| 33.33% | 18 | 7.1 | 1,243 | 12,057 | 33.3% | 33.3% | |
| 35.29% | 17 | 7.0 | 987 | 12,339 | 40.0% | 33.3% | |
| 41.18% | 17 | 4.2 | 857 | 11,029 | 25.0% | 46.1% | |
| 47.06% | 17 | 5.0 | 886 | 11,202 | 20.0% | 58.3% | |
| 64.71% | 17 | 6.7 | 962 | 11,545 | 50.0% | 72.7% | |
| 50.00% | 16 | 6.8 | 1,022 | 9,922 | 57.1% | 44.4% | |
| 50.00% | 16 | 7.3 | 1,045 | 11,894 | 54.5% | 40.0% | |
| 66.67% | 15 | 6.4 | 1,256 | 12,275 | 50.0% | 77.8% | |
| 53.33% | 15 | 6.4 | 1,017 | 11,325 | 57.1% | 50.0% | |
| 66.67% | 15 | 6.6 | 1,000 | 11,964 | 50.0% | 85.7% | |
| 42.86% | 14 | 6.2 | 1,164 | 11,369 | 33.3% | 60.0% | |
| 64.29% | 14 | 6.8 | 1,376 | 13,828 | 50.0% | 70.0% | |
| 15.38% | 13 | 6.1 | 1,036 | 11,772 | 0.0% | 28.6% | |
| 53.85% | 13 | 6.6 | 902 | 11,186 | 50.0% | 57.1% | |
| 15.38% | 13 | 6.8 | 1,153 | 11,484 | 16.7% | 14.3% | |
| 38.46% | 13 | 5.9 | 881 | 9,950 | 33.3% | 42.9% | |
| 53.85% | 13 | 6.7 | 1,145 | 14,584 | 66.7% | 50.0% | |
| 61.54% | 13 | 7.1 | 836 | 11,547 | 50.0% | 71.4% | |
| 83.33% | 12 | 6.4 | 1,185 | 13,179 | 100.0% | 75.0% | |
| 63.64% | 11 | 7.0 | 1,072 | 15,267 | 0.0% | 70.0% | |
| 50.00% | 10 | 6.8 | 1,095 | 13,422 | 50.0% | 50.0% | |
| 33.33% | 9 | 7.1 | 811 | 12,327 | 33.3% | 33.3% | |
| 22.22% | 9 | 5.5 | 826 | 12,835 | 33.3% | 16.7% | |
| 44.44% | 9 | 2.3 | 921 | 8,359 | 42.9% | 50.0% | |
| 44.44% | 9 | 3.9 | 1,289 | 14,222 | 50.0% | 42.9% | |
| 50.00% | 8 | 4.1 | 955 | 11,267 | 66.7% | 40.0% | |
| 62.50% | 8 | 6.9 | 1,032 | 11,229 | 75.0% | 50.0% | |
| 57.14% | 7 | 7.2 | 820 | 11,617 | 60.0% | 50.0% | |
| 42.86% | 7 | 5.3 | 1,116 | 9,441 | 50.0% | 33.3% | |
| 71.43% | 7 | 2.9 | 909 | 11,953 | 66.7% | 75.0% | |
| 16.67% | 6 | 6.6 | 978 | 12,251 | 50.0% | 0.0% | |
| 33.33% | 6 | 7.6 | 1,006 | 12,013 | 25.0% | 50.0% | |
| 50.00% | 6 | 5.0 | 1,053 | 11,676 | 0.0% | 75.0% | |
| 50.00% | 6 | 6.7 | 1,097 | 14,274 | 50.0% | 50.0% | |
| 50.00% | 6 | 6.9 | 1,123 | 15,668 | 0.0% | 50.0% | |
| 50.00% | 6 | 6.4 | 1,031 | 10,294 | 66.7% | 33.3% | |
| 33.33% | 6 | 3.1 | 948 | 11,401 | 25.0% | 50.0% | |
| 83.33% | 6 | 2.7 | 1,020 | 11,604 | 100.0% | 66.7% | |
| 60.00% | 5 | 3.2 | 746 | 8,972 | 66.7% | 50.0% | |
| 40.00% | 5 | 2.3 | 785 | 10,325 | 0.0% | 50.0% | |
| 40.00% | 5 | 2.7 | 1,107 | 12,678 | 100.0% | 25.0% | |
| 40.00% | 5 | 6.2 | 986 | 10,282 | 0.0% | 66.7% | |
Pomóż nam utrzymać dokładność! Jeśli zauważysz nieprawidłowe statystyki, brakujące dane lub jakiekolwiek problemy, Twoja opinia bezpośrednio poprawia jakość naszych danych dla całej społeczności.
Matchupy Ziggs - Czesto zadawane pytania
Jakie sa najlepsze matchupy Ziggs w League of Legends?
Najlepsze matchupy Ziggs w patchu 26.10 to Smolder, Caitlyn, and Ashe. Ziggs ma najwyzsze wskazniki zwyciestwa przeciwko tym czempionom i moze dominowac na linii, gdy sie z nimi mierzy. Wybierz dowolnego przeciwnika z tabeli matchupow, aby zobaczyc szczegolowe statystyki.
Jakie sa najgorsze matchupy Ziggs?
Najgorsze matchupy Ziggs to Nilah, Xin Zhao, and Riven. Ci czempioni maja korzystne wskazniki zwyciestwa przeciwko Ziggs i moga wykorzystac slabosci Ziggs na linii. Kliknij nazwe czempiona w tabeli, aby zobaczyc pelny rozklad matchupu.
Jak sprawdzic dane matchupow Ziggs?
Mozesz sprawdzic dane matchupow Ziggs wlasnie tutaj na tej stronie. Tabela matchupow pokazuje wskazniki zwyciestwa i statystyki przeciwko kazdemu czempionowi. Kliknij dowolna nazwe czempiona, aby zobaczyc szczegolowy rozklad, w tym najlepszy build, runy, statystyki linii i analize early vs late game dla tego konkretnego matchupu Ziggs.
Kogo kontruje Ziggs w League of Legends?
Ziggs kontruje Smolder, Caitlyn, and Ashe w patchu 26.10. To sa najbardziej korzystne matchupy Ziggs, gdzie Ziggs ma najwyzsze wskazniki zwyciestwa i najsilniejsza wydajnosc na linii. Uzyj selektora matchupow powyzej, aby zbadac dowolny konkretny matchup Ziggs w szczegolach.
Kto kontruje Ziggs na linii?
Nilah, Xin Zhao, and Riven kontruja Ziggs na linii w patchu 26.10. Ci czempioni maja najlepsze wskazniki zwyciestwa przeciwko Ziggs. Sprawdz zakladke kontr lub kliknij czempiona w tabeli, aby zobaczyc szczegolowe strategie matchupow i polecane buildy.